Paper Papers

Big Learning Expectation Maximization

Yulai Cong, Sijia Li

Bilateral Gradual Semantics for Weighted Argumentation

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang et al.

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Yanjing Li, Sheng Xu, Mingbao Lin et al.

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu, Zhixuan Li, Tingting Jiang

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Wenbo Hu, Yifan Xu, Yi Li et al.

Block Image Compressive Sensing with Local and Global Information Interaction

Xiaoyu Kong, Yongyong Chen, Feng Zheng et al.

Block-Level Goal Recognition Design

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

Qinliang Lin, Cheng Luo, Zenghao Niu et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Weiping Lin, Zhenfeng Zhuang, Lequan Yu et al.

Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling

Shanshan Wang, Zhen Zeng, Xun Yang et al.

Boosting Residual Networks with Group Knowledge

Shengji Tang, Peng Ye, Baopu Li et al.

Bootstrapping Large Language Models for Radiology Report Generation

Chang Liu, Yuanhe Tian, Weidong Chen et al.

Box2Poly: Memory

Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.

Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA

Wentao Mo, Yang Liu

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.

B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation

Hao Wang, Qiang Song, Ruofeng Yin et al.

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao et al.

Building Variable-Sized Models via Learngene Pool

Boyu Shi, Shiyu Xia, Xu Yang et al.

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie et al.

Cached Transformers: Improving Transformers with Differentiable Memory Cached

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.

CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition

Linhao Zhang, Li Jin, Guangluan Xu et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

Zhongxi Chen, Ke Sun, Xianming Lin

Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis

Caoyun Fan, Jindou Chen, Yaohui Jin et al.

Can Large Language Models Understand Real

World Complex Instructions?

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated

Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Cheng Peng, Ke Chen, Lidan Shou et al.

CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization

Yuang Cai, Yuyu Yuan

Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration

Huafeng Li, Qingsong Hu, Zhanxuan Hu

Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN

Minsoo Kang, Minkoo Kang, Suhyun Kim

CatFormer: Category-Level 6D Object Pose Estimation with Transformer

Sheng Yu, Dihua Zhai, Yuanqing Xia

CatmullRom Splines-Based Regression for Image Forgery Localization

Li Zhang, Mingliang Xu, Dong Li et al.

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi et al.

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis

Jie Qiao, Yu Xiang, Zhengming Chen et al.

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval

Yu Liu, Guihe Qin, Haipeng Chen et al.

Causal Representation Learning via Counterfactual Intervention

Xiutian Li, Siqi Sun, Rui Feng

Causal Strategic Learning with Competitive Selection

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment

Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning

Yanwen Ba, Xuan Liu, Xinning Chen et al.

CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments

Xiulong Liu, Sudipta Paul, Moitreya Chatterjee et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.